Oracle’s expanded AI Agent Studio lets enterprises build and deploy AI agents across Fusion Applications workflows — without traditional coding or application development.
Oracle announced a significant expansion of its AI Agent Studio for Fusion Applications on Monday, adding a natural language-based agentic applications builder and a suite of new tools designed to help enterprises move artificial intelligence from pilot projects into operational business processes.
The update reflects a broader shift in how enterprise software companies are positioning AI — away from assistants that support human decision-making and toward autonomous agents that execute business processes end to end. Oracle is making an explicit bet that its customers are ready for that transition, and that the companies that get there first will not want to go back.
“We are helping customers and partners build the foundation for a more autonomous enterprise,” said Chris Leone, Executive Vice President of Applications Development at Oracle. “This enables organisations to move beyond dashboards and copilots to AI-powered applications that actively run the business.”
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What the Expansion Actually Includes
The centrepiece of the update is an Agentic Applications Builder — a natural language environment that allows users to select agents, compose workflows, and connect enterprise data without writing code or engaging traditional application development resources. The intent is to bring AI deployment within reach of business teams, not just engineering departments.
Supporting that builder is a set of capabilities that address the practical challenges of running AI at enterprise scale. A workflow orchestration layer manages multi-step, multi-agent execution across complex business processes, with built-in logic and human oversight controls. Contextual memory allows agents to retain information across interactions and workflows — enabling end-to-end process automation rather than isolated task completion. Content intelligence expands what agents can act on by combining unstructured first- and third-party data with transactional records. Multimodal capabilities extend that further, allowing agents to process and generate images, audio, and video alongside text.
For organisations that have struggled to quantify what AI is actually delivering, Oracle has added an agent ROI dashboard that tracks time saved, cost reductions, and productivity gains per agent across workflows, teams, and business functions.
The full suite is available to Oracle Fusion Applications customers at no additional cost.
The Governance Question
Enterprise AI deployments have consistently run into the same obstacle: organisations want automation, but they also need accountability. Oracle has built observability, auditability, security controls, and a prompt playground for real-time testing and debugging directly into the platform — framing governance not as a constraint on AI deployment but as a precondition for scaling it responsibly.
That framing resonates with the consulting partners Oracle has enlisted to drive adoption. Oracle counts more than 63,000 certified experts trained in AI Agent Studio across its partner network, including Accenture, Deloitte, KPMG, and PwC — firms whose enterprise clients are increasingly asking not just whether AI works, but whether it can be trusted and measured.
“Enterprise AI is evolving quickly from task-based assistance to outcome-driven automation, and clients want that shift delivered with the controls and accountability their business requires,” said Mauro Schiavon, Deloitte’s Global Chief Commercial Officer for Oracle Business.
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The Larger Ambition
The expansion of AI Agent Studio is Oracle’s most direct statement yet about where it believes enterprise software is heading. The company is not positioning AI as a feature layered onto its Fusion Applications suite — it is positioning the suite itself as the infrastructure through which AI agents will run core business operations.
Whether customers are ready to hand that level of autonomy to AI systems — and whether Oracle’s governance tools are robust enough to earn that trust — will determine how quickly that ambition translates into adoption.
The tools are available now. The harder work of organisational readiness is just beginning.
